胎儿心脏超声智能导航技术联合彩色血流成像在基本胎儿超声心动图切面诊断要素显示中的价值

Value of fetal intelligent navigation echocardiography with color flow imaging in the display of key diagnosticelements in basic fetal echocardiographic views

目的评价胎儿心脏超声智能导航技术联合彩色血流成像（以下简称“5DHeartColor”）在胎儿超声心动图8个标准切面诊断要素显示中的价值。方法采集220例胎儿共384个心脏容积数据并进行脱机分析。对每个诊断平面应用内置虚拟智能超声辅助技术（VI^Assistance锄）进行优化处理。应用Pearson相关系数比较分析5DHeartColor技术与传统彩色多普勒血流显像（CDFI）技术在胎儿超声心动图基本诊断切面中对血流要素的显示率，同时比较心脏正常胎儿组与心脏异常胎儿组在基本诊断切面中血流要素的显示率，应用BlandAltman法验证两观察者之间及同一观察者对不同次数据观察结果的一致性及可靠性。结果220例胎儿共获取容积数据384个，其中200例胎儿的317个心脏容积数据能够用于分析，获取成功率为82．6％；其中5DHeartColor技术与CDFI技术在胎儿超声心动图诊断切面中对心脏大血管及瓣膜口血流要素的显示具有很高的相关性（r=0．88，P〈（）．05）；心脏正常胎儿组与心脏异常胎儿组比较，血流要素显示率分别为91．9％、87．3％，平均89．6％（r=0．90，P〈0．05）。经Bland—Altman法验证了不同观察者间及同一观察者对血流要素显示率的95％可信区间分别为（-0．1／＋0．09）、（-0.09／＋0．1），分别有5．4％（17／231）、5．7％（18／231）的点在95％可信区间之外，具有较高的一致性。结论5DHeartColor在血流要素的显示方面与传统CDFI技术相近，在获取胎儿心脏诊断切面及显示胎儿超声心动图血流要素化诊断信息方面具有较高的可靠性及重复性。

Objective To evaluate the value of fetal intelligent navigation eehocardiography with color flow imaging （513 Heart Color） in the display of key diagnostic elements in basic fetal echocardiographie views. Methods The heart volumes datasets of 22（I fetuses were collected and the offline analysis was conducted. Pearson correlations was used to compare the detection rate of blood flow element between 5D Heart Color software and color Doppler flow imaging（CDFI） in basic fetal echocardiographic views, and the detection rate of blood flow between normal fetuses （control group） and fetuses with cardiovascular abnormalities（case group）. Bland-Altman analysis was used to prove consistency and reliability of the results. Results Totally 384 fetal heart volume datasets were collected from 220 fetuses, and 317 volume datasets of 201） cases could be used for the analysis, with the acquiring success rate of 82.6%. 5D Heart Color software and CDFI showed a close correlation in displaying key cardiovascular blood flow information in key fetal echocardiographic diagnosis sections （ r = 0.88, P 〈0.05）;The detection rates of blood flow elements in control group and case group were 91.9% and 87.3%,respectively, with an average of 89.6%（r = 0.9, P 〈0.05）. Bland-Altman analysis showed close consistency between inter- and intra observations in the detection rates of blood flow elements, and their 95 % confidence intervals were （ -11. 1 / ＋ 0.09） and （ - 0.09/＋ 0. l）, respectively, and the points outside the 95% confidence interval were 5.4% （17/231） and 5.7%（18/231 ）, respectively. Conclusions 5D Heart Color software shows similar usefulness in the displaying key blood flow elements, comparing with CDFI, demonstrating higher reliability and repeatability in displaying fetal echocardiographic diagnosis views and diagnostic blood flow elements.